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Healthcare Specialist (Remote)

Hire Feed
Abu Dhabi, UAE
contract
Mid-Senior
2 days ago
HealthcareRemoteSpecialist
Free

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Overview

  • **Role**

: Healthcare Specialist (Remote)

  • **Location**
  • : Remote (Work from Anywhere)
  • **Payout**
  • : Competitive, based on experience

Role Overview

This role focuses on evaluating healthcare AI solutions for accuracy, compliance, and real-world applicability.

The position requires deep domain expertise in healthcare systems, clinical workflows, and regulatory standards to validate and refine AI models before deployment.

This work directly impacts patient safety, operational efficiency, and the reliability of healthcare technologies.

Key Responsibilities

  • Review and assess healthcare AI models for clinical relevance, data integrity, and adherence to medical standards.
  • Validate outputs against established healthcare guidelines and industry benchmarks to ensure accuracy.
  • Collaborate with cross-functional teams to identify gaps in model performance and recommend improvements.
  • Provide detailed feedback on model limitations, edge cases, and potential biases in healthcare applications.
  • Document evaluation findings and contribute to reports that inform model refinement and regulatory submissions.

Required Skills & Qualifications

  • Minimum 3 years of direct experience in healthcare systems, clinical operations, or health informatics.
  • Familiarity with healthcare regulations, including HIPAA, FDA guidelines for medical AI, or equivalent standards.
  • Ability to interpret clinical datasets, medical terminologies (e.g., ICD-10, SNOMED CT), and AI model outputs.
  • Strong analytical skills with experience evaluating AI models in healthcare or adjacent domains.
  • Excellent written and verbal communication skills to articulate technical feedback to non-technical stakeholders.

More About the Opportunity

This role supports the development of AI solutions deployed in real-world healthcare settings, contributing to improved diagnostics, treatment recommendations, or operational efficiencies.

The work involves shaping the reliability and safety of AI tools used by providers, payers, or patients globally.

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